Nature Inspired Optimization Techniques for Image Processing Applications edited by Jude Hemanth, Valentina Emilia Balas.

This book provides a platform for exploring nature-inspired optimization techniques in the context of imaging applications. Optimization has become part and parcel of all computational vision applications, and since the amount of data used in these applications is vast, the need for optimization tec...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Hemanth, Jude (Editor), Balas, Valentina Emilia (Editor)
Format: eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2019.
Edition:1st ed. 2019.
Series:Intelligent Systems Reference Library, 150
Springer eBook Collection.
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Online Access:Click to view e-book
Holy Cross Note:Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.
Description
Summary:This book provides a platform for exploring nature-inspired optimization techniques in the context of imaging applications. Optimization has become part and parcel of all computational vision applications, and since the amount of data used in these applications is vast, the need for optimization techniques has increased exponentially. These accuracy and complexity are a major area of concern when it comes to practical applications. However, these optimization techniques have not yet been fully explored in the context of imaging applications. By presenting interdisciplinary concepts, ranging from optimization to image processing, the book appeals to a broad readership, while also encouraging budding engineers to pursue and employ innovative nature-inspired techniques for image processing applications.
Physical Description:XIV, 297 p. 130 illus. online resource.
ISBN:9783319960029
ISSN:1868-4394 ;
DOI:10.1007/978-3-319-96002-9